MacLachlan, Bruce J., Greenshields-Watson, Alexander, Mason, Georgina H., Schauenburg, Andrea J., Bianchi, Valentina, Rizkallah, Pierre J. ORCID: https://orcid.org/0000-0002-9290-0369, Sewell, Andrew K. ORCID: https://orcid.org/0000-0003-3194-3135, Fuller, Anna and Cole, David K. ORCID: https://orcid.org/0000-0003-0028-9396 2017. Using X-ray crystallography, biophysics, and functional assays to determine the mechanisms governing T-cell receptor recognition of cancer antigens. Journal of Visualized Experiments (120) , e54991. 10.3791/54991 |
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Abstract
Human CD8+ cytotoxic T lymphocytes (CTLs) are known to play an important role in tumor control. In order to carry out this function, the cell surface-expressed T-cell receptor (TCR) must functionally recognize human leukocyte antigen (HLA)-restricted tumor-derived peptides (pHLA). However, we and others have shown that most TCRs bind sub-optimally to tumor antigens. Uncovering the molecular mechanisms that define this poor recognition could aid in the development of new targeted therapies that circumnavigate these shortcomings. Indeed, present therapies that lack this molecular understanding have not been universally effective. Here, we describe methods that we commonly employ in the laboratory to determine how the nature of the interaction between TCRs and pHLA governs T-cell functionality. These methods include the generation of soluble TCRs and pHLA and the use of these reagents for X-ray crystallography, biophysical analysis, and antigen-specific Tcell staining with pHLA multimers. Using these approaches and guided by structural analysis, it is possible to modify the interaction between TCRs and pHLA and to then test how these modifications impact T-cell antigen recognition. These findings have already helped to clarify the mechanism of T-cell recognition of a number of cancer antigens and could direct the development of altered peptides and modified TCRs for new cancer therapies.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine |
Publisher: | Journal of Visualized Experiments (JoVE) |
ISSN: | 1940-087X |
Funders: | Wellcome Trust |
Date of First Compliant Deposit: | 22 March 2017 |
Date of Acceptance: | 26 August 2016 |
Last Modified: | 15 May 2024 01:19 |
URI: | https://orca.cardiff.ac.uk/id/eprint/99272 |
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